Our vision

Our vision

Why STATE16 Exists

Why STATE16 Exists

Discover the vision behind STATE16. Explore AIME for the current engineering workflow.

Discover the vision behind STATE16. Explore AIME for the current engineering workflow.

A Successful Demo Is Not Enough

Robotics engineers need to know where a mission breaks, which conditions trigger the failure, and whether a proposed guardrail actually helps.

Find the failure: Vary mission conditions and physical uncertainty instead of relying on a single successful run.

Make it reproducible: Keep the configuration, seed and motion logs so the same simulated failure can be inspected again.

Test the intervention: Compare guarded and unguarded runs. See what improves, what still fails, and where the model is limited.

FromMissiontoTestedGuardrail
FromMissiontoTestedGuardrail

Choose a platform, environment and mission. Run Monte Carlo tests, inspect failures, add constraints and retest. Revisit saved experiments when your route or configuration changes. Results describe modeled behavior, not a certified or field-calibrated digital twin.

Mission Stress-Testing

Run seeded Monte Carlo trials with physical uncertainty. Inspect the conditions and trajectories associated with mission failures.

Mission Stress-Testing

Run seeded Monte Carlo trials with physical uncertainty. Inspect the conditions and trajectories associated with mission failures.

Mission Stress-Testing

Run seeded Monte Carlo trials with physical uncertainty. Inspect the conditions and trajectories associated with mission failures.

Guardrail Validation

Define no-go zones and speed limits. Compare matched runs with guardrails off and on, including failures that remain.

Guardrail Validation

Define no-go zones and speed limits. Compare matched runs with guardrails off and on, including failures that remain.

Code and Evidence

Export guardrail code, configuration, tests and motion logs. Review and validate the integration in your own robotics stack.

Code and Evidence

Export guardrail code, configuration, tests and motion logs. Review and validate the integration in your own robotics stack.

Built for Drone and AMR Teams

Autonomous Mobile Robots

Plan ground-level missions around obstacles and pedestrians. Test clearance, stopping margins and motion constraints.

Drone Missions in 3D

Plan three-dimensional routes and test collisions, clearance and physical uncertainty using PhysX-based drone models.

Drone Missions in 3D

Plan three-dimensional routes and test collisions, clearance and physical uncertainty using PhysX-based drone models.

Platform Comparisons

Compare two or three drones or AMRs of the same type on a shared mission with matched test conditions.

Platform Comparisons

Compare two or three drones or AMRs of the same type on a shared mission with matched test conditions.

Built for Drone and AMR Teams

Autonomous Mobile Robots

Plan ground-level missions around obstacles and pedestrians. Test clearance, stopping margins and motion constraints.

Drone Missions in 3D

Plan three-dimensional routes and test collisions, clearance and physical uncertainty using PhysX-based drone models.

Platform Comparisons

Compare two or three drones or AMRs of the same type on a shared mission with matched test conditions.

Bring Your Next Failure Case

Discuss a pilot: tell us your platform, mission and failure conditions.

Explore our Physical AI research

What Makes Your Mission Fail?

Discuss a Pilot

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Contact us

We’d love to hear from you. Please fill out this form, and we’ll reply soon.